College of Science and Engineering, James Cook University, Townsville, Qld, Australia.
Australian Institute of Marine Science, Townsville, Qld, Australia.
Mol Ecol. 2021 Aug;30(15):3768-3782. doi: 10.1111/mec.16006. Epub 2021 Jun 18.
Marine invertebrates harbour a complex suite of bacterial and archaeal symbionts, a subset of which are probably linked to host health and homeostasis. Within a complex microbiome it can be difficult to tease apart beneficial or parasitic symbionts from nonessential commensal or transient microorganisms; however, one approach is to detect strong cophylogenetic patterns between microbial lineages and their respective hosts. We employed the Procrustean approach to cophylogeny (PACo) on 16S rRNA gene derived microbial community profiles paired with COI, 18S rRNA and ITS1 host phylogenies. Second, we undertook a network analysis to identify groups of microbes that were co-occurring within our host species. Across 12 coral, 10 octocoral and five sponge species, each host group and their core microbiota (50% prevalence within host species replicates) had a significant fit to the cophylogenetic model. Independent assessment of each microbial genus and family found that bacteria and archaea affiliated to Endozoicomonadaceae, Spirochaetaceae and Nitrosopumilaceae have the strongest cophylogenetic signals. Further, local Moran's I measure of spatial autocorrelation identified 14 ASVs, including Endozoicomonadaceae and Spirochaetaceae, whose distributions were significantly clustered by host phylogeny. Four co-occurring subnetworks were identified, each of which was dominant in a different host group. Endozoicomonadaceae and Spirochaetaceae ASVs were abundant among the subnetworks, particularly one subnetwork that was exclusively comprised of these two bacterial families and dominated the octocoral microbiota. Our results disentangle key microbial interactions that occur within complex microbiomes and reveal long-standing, essential microbial symbioses in coral reef invertebrates.
海洋无脊椎动物拥有复杂的细菌和古菌共生体,其中一部分可能与宿主的健康和内稳态有关。在复杂的微生物组中,很难将有益或寄生共生体与非必需共生体或短暂微生物区分开来;然而,一种方法是检测微生物谱系与其各自宿主之间强烈的共进化模式。我们采用 Procrustean 共进化方法(PACo)对 16S rRNA 基因衍生的微生物群落谱与 COI、18S rRNA 和 ITS1 宿主系统发育进行分析。其次,我们进行了网络分析,以确定在我们的宿主物种中共同出现的微生物群。在 12 种珊瑚、10 种八放珊瑚和 5 种海绵物种中,每个宿主群体及其核心微生物群(在宿主物种重复中 50%的患病率)与共进化模型具有显著的拟合度。对每个微生物属和科的独立评估发现,与内共生单胞菌科、螺旋体科和硝化螺旋菌科相关的细菌和古菌具有最强的共进化信号。此外,空间自相关的局部 Moran's I 度量确定了 14 个 ASV,包括内共生单胞菌科和螺旋体科,它们的分布通过宿主系统发育显著聚集。确定了四个共现的子网,每个子网在不同的宿主群体中占主导地位。内共生单胞菌科和螺旋体科的 ASV 在子网中丰富,特别是一个子网仅由这两个细菌科组成,主导着八放珊瑚的微生物群。我们的结果解开了复杂微生物组中发生的关键微生物相互作用,并揭示了珊瑚礁无脊椎动物中存在的长期、必需的微生物共生关系。